{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# load models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%reload_ext autoreload\n",
    "%autoreload 2\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from fastai.text import *\n",
    "from segal_utils import NextWord\n",
    "wiki_path = \"data/wiki/\"\n",
    "amit_path = \"data/amit/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "wiki = load_learner(wiki_path, \"wiki-heb.pkl\")\n",
    "learn_amit = load_learner(amit_path, \"learn_amit.pkl\")\n",
    "classification_amit = load_learner(amit_path, \"classification_amit.pkl\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## predict word with 2 models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "sentence = \"ראש הממשלה בנימין נתניהו\"\n",
    "predicter = NextWord(learn_amit, sentence, classification_amit)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ראש הממשלה בנימין נתניהו נתניהו שולל לחלוטין את האמירה שיש הבחנה בין העוטף לבין תל אביב . משקיע שממילא זה עתה מטרידה כל כך הרבה מנדטים . ולהיזכר יום יום הבחירות הקודמות , והליכוד 22 שרק כדי לזכות הקודמות .\n"
     ]
    }
   ],
   "source": [
    "predicter.generate(40)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "seem very good!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## word map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "c = learn_amit.model[0].encoder.weight\n",
    "c = c.pca(2)\n",
    "\n",
    "text = \"נתניהו יחימוביץ גבאי אלקין אדלשטיין ריבלין גלאון אוחנה ברק בנט שקד אברמוביץ יונית מרזל ברקו אולמרט שרון\"\n",
    "text = text.split(\" \")\n",
    "ids = learn_amit.data.vocab.numericalize(text)\n",
    "X = [c[i].cpu().detach().numpy()[0] for i in ids]\n",
    "Y = [c[i].cpu().detach().numpy()[1] for i in ids]\n",
    "\n",
    "corrcet = lambda t: \"\".join([t[len(t) - i - 1] for i in range(len(t))])\n",
    "plt.figure(figsize=(10,10))\n",
    "plt.scatter(X, Y)\n",
    "for i, x, y in zip(text, X, Y):\n",
    "    plt.text(x,y,corrcet(i), color=np.random.rand(3)*0.7, fontsize=15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "c = wiki.model[0].encoder.weight\n",
    "\n",
    "text = \"נתניהו יחימוביץ גבאי אלקין אדלשטיין ריבלין גלאון אוחנה ברק בנט שקד אברמוביץ יונית מרזל ברקו אולמרט שרון\"\n",
    "text = text.split(\" \")\n",
    "ids = wiki.data.vocab.numericalize(text)\n",
    "X = [c[i].unsqueeze(1).pca(2).cpu().detach().numpy()[0] for i in ids]\n",
    "Y = [c[i].unsqueeze(1).pca(2).cpu().detach().numpy()[1] for i in ids]\n",
    "\n",
    "corrcet = lambda t: \"\".join([t[len(t) - i - 1] for i in range(len(t))])\n",
    "plt.figure(figsize=(10,10))\n",
    "plt.scatter(X, Y)\n",
    "for i, x, y in zip(text, X, Y):\n",
    "    plt.text(x,y,corrcet(i), color=np.random.rand(3)*0.7, fontsize=15)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
